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11 noviembre 2025•506 vistas

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Wall Street Oasis

Equity Research Intern

hace 10 horas

Córdoba

About Us Wall Street Oasis is the largest community focused on careers in finance, with over 1 million registered members and 20 million annual visits. The platform offers valuable resources, insights, and networking opportunities for finance professionals and aspiring candidates. About the Internship Are you a student passionate about the stock market, company analysis, or investment strategies? Do you want to build skills that top employers in equity research and investment banking are looking for? Join us as an Equity Research Intern – a role designed specifically to help college students and recent graduates build real skills, produce tangible work, and prepare for high-stakes roles in the finance industry. What You'll Do • Assist in building robust equity research reports on public companies, • Analyze financial statements and valuation metrics (P/E, EV/EBITDA, DCF, etc.), • Track company earnings, press releases, and industry trends This is ideal for: • Undergraduate students in Finance, Economics, Accounting, or related fields, • Recent graduates preparing for finance interviews, • Students seeking real experience to stand out on LinkedIn and job applications, • Real-world project experience, • Equity research report samples for your portfolio, • Weekly mentor sessions + resume/interview prep, • Location: Remote (Must be based in Spain), • Duration: 6–8 weeks, part-time (flexible with class schedules) Take your first step toward Wall Street — apply now and unlock your future in finance.

Wall Street Oasis

Investment Banking Intern

hace 10 horas

Córdoba

Investment Banking Internship - WSO Global Talent Program Our Global Talent Program offers an unparalleled opportunity to gain hands-on experience and build a formidable resume through an immersive, 10-week virtual internship. We are actively screening thousands of top students globally to identify future finance leaders. This highly selective program is offered in partnership with leading boutique investment banks in key markets, including the US, UK, APAC, Europe, MENA markets. Only two students are selected per quarter for this off-cycle, ongoing program, ensuring a focused and high-impact experience for our interns per geographic region. What You'll Gain: • Intensive Financial Training (Weeks 1-2): The internship kicks off with two weeks of rigorous, in-house virtual training led by industry experts. You'll gain a strong foundation in core investment banking skills, including:, • 3-Statement Financial Modeling, • Discounted Cash Flow (DCF) Analysis, • Trading Comparables (Comps), • Precedent Transactions, • Advanced Excel & PowerPoint techniques, • Industry Research & Sourcing Strategies, • Real-World Experience (Weeks 3-10): Following successful completion of the initial training and assessments, you'll be introduced to a Managing Director or Partner at one of our boutique investment bank partners. For the next eight weeks, you'll work directly on live projects, providing invaluable support with:, • Pitch Book Development, • Valuation Analysis (Comps, DCFs), • Financial Modeling, • Sourcing & Due Diligence, • Industry and Company Research, • And other critical tasks to support ongoing deals. Who We're Looking For: This program is ideal for highly motivated 1st year and 2nd year students (not limited to) who are eager to get a head start in investment banking and build a compelling CV. We seek candidates who are hungry, quick learners, and committed to excelling in a fast-paced environment. How to Apply: Get your application in now! If selected, you will be invited to complete a short assessment. Top candidates from this assessment will move forward to the intensive training phase. This is your chance to gain an unparalleled edge in your finance career. We look forward to reviewing your application!

LearnWise AI

AI Engineering Intern (LLM Ops & RAG)

hace 10 horas

Córdoba

LearnWise is a company where the best idea always wins — no matter what — and where innovation and hyper-growth are in our DNA. We offer Engineering internships designed to build future technical leaders - hopefully at LearnWise! Internship · EU · Remote Department: Engineering Reports to: Head of AI Work alongside: CTO, AI team, Engineering & Product Job Description LearnWise.ai is a scale-up modernizing educational institutions with virtual assistants, instructor efficiency, and student engagement solutions for higher education. We're seeking an inspired and rigorous Engineering Intern for a 6-month internship focused on AI systems, reliability, and product behavior. You'll join a VC-funded team with a track record of exponential growth. You'll work closely with leadership and be expected to propose, test, and ship your own ideas. What you'll do AI Systems & Reliability • Troubleshoot LLM behavior and agent actions across our Tutor Assistant, automatic feedback, and other AI features; identify root causes and ship fixes., • Use LangSmith, LogFire and other tools to trace requests end-to-end, correlate prompts, tools, and outputs, and explain why a behavior occurred., • Optimize our retrieval pipelines: choose and tune embeddings, refine vector-database indexing/search strategies, and evaluate re-rankers for higher precision/recall., • Contribute to LLM Ops: prompt/tool versioning, dataset curation, regression test suites, latency/cost monitoring, and safe rollout strategies (shadow, A/B)., • Build small utilities to surface failure taxonomies, detect drift, and turn traces into actionable fixes., • Partner with the Head of AI, CTO, AI team, Engineering, and Product to shape technical direction., • Strong proficiency in Python., • Master's (ongoing or completed) in AI/ML or a related field, or equivalent experience demonstrating comparable depth., • Solid understanding of modern AI models and AI-powered applications (prompting, tool-use/agents, RAG, context management, evaluation)., • Hands-on experience with LLMs and/or tool-using agents: debugging prompts, tracing tool calls, analyzing failure modes., • Ability to design evaluation loops (golden sets, regression tests, online experiments) that make reliability measurable and improvable., • Experience optimizing RAG components: embeddings selection/tuning, vector DB configuration, re-ranker selection/evaluation., • Familiarity with AI observability/monitoring practices and failure taxonomies., • Direct mentorship from senior leadership (CTO, Head of AI, Head of Product)., • Work with a global team on cutting-edge AI applications., • Flexible working arrangements (results > hours).

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